scholarly journals Analysis of Daily Enhanced Syndromic Surveillance in Hillsborough County, FL, 2015

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Charles R. Clark ◽  
Michael Wiese

ObjectiveEnhanced daily surveillance is used to identify reportablediseases, outbreaks, and clusters and provides situational awareness.This project examines how health care visits requiring additionalinformation are detected using enhanced syndromic surveillance andthe resources required from detection through completion.IntroductionThe Florida Department of Health in Hillsborough County (FDOH-Hillsborough) conducts enhanced syndromic surveillance on a dailybasis. The Electronic Surveillance System for the Early Notificationof Community-based Epidemics in Florida (ESSENCE-FL) is thesyndromic surveillance system used by epidemiologists within theFlorida Department of Health (FDOH). During the time of this study,ESSENCE-FL receives data from 210 of emergency departments(ED) and 33 urgent care centers (UCC) throughout the state of Florida,including 12 EDs and 3 UCCs in Hillsborough County. In 2014, theESSENCE-FL system added a feature that delivers an automaticdaily email to designated primary ESSENCE-FL users in each countycontaining all visits which have been detected by the state’s visits ofinterest (VOI) query. The email contains all visits which have beendetected by the visits of interest (VOI) query for each ESSENCE-FLusers designated county. The VOI query utilizes the combinedchief complaint and discharge diagnosis (CCDD) field of a visit forkeywords related to reportable diseases and exposures of public healthinterest. In addition to this VOI email, Hillsborough County analyzestime of arrival alerts, specialized emerging infectious disease queries,poison information center data, and volume levels of syndromes andsubsyndromes predetermined by ESSENCE-FL. A daily summaryreport of the enhanced daily surveillance analysis is then providedto area public health officials within FDOH-Hillsborough and thesurrounding counties. This study examines how visits requiringadditional investigation are detected and the resources required tocomplete the investigation.MethodsDuring the study period from July 23 through September 30, 2015,visits identified were recorded along with the time and method ofdetection. Each day this surveillance began with the review of thevisits of interest email, facility and syndrome volumes, the VOIquery, emerging infectious disease queries (MERS-CoV, Ebola virusdisease, chikungunya, etc.), time of arrival alerts, and the review ofFlorida Poison Information Center data. A daily summary report ofthe enhanced surveillance was manually created and provided byemail to public health officials. After completion of the daily analysis,facilities were contacted about any visits identified as requiringadditional investigation, such as a reportable disease or cluster ofpublic health concern. The time of the information request, receiptof the requested information, and completion of the investigation wasrecorded.ResultsAn average of 1740 visits were made each day in HillsboroughCounty in the month prior to the start of this project. During thissame time period the daily VOI email identified an average of 5.5visits per day. During the study period, an average of 7.8 visitswere detected each day during the enhanced syndromic surveillanceprotocol. The VOI email detected 6 visits per day. Overall 558 totalvisits were detected from the enhanced daily surveillance and82 percent of these visits were found in the system generated VOIemail. Of the visits identified 149 required additional investigationand 15 were determined to be associated with a reportable disease,most commonly carbon monoxide poisoning and varicella. Anaverage of 1.3 days elapsed from the time a visit occurred to the timeit was detected through surveillance. Follow-up was started within1 day of detection and completed in an average of 1.1 days. Overallthe daily enhanced syndromic surveillance data analysis required anaverage of 60 minutes of work time daily with a range of 18-144minutes.ConclusionsDuring the study period, 15 visits were found to be cases ofreportable diseases, primarily carbon monoxide poisoning andvaricella, which would have otherwise gone unreported to FDOH-Hillsborough. The enhanced surveillance process also allows for thequick detection and evaluation of diseases or conditions requiringimmediate action that may not always be reported immediately suchas meningitis or an emerging infectious disease. The enhanced dailysyndromic surveillance in Hillsborough County has been useful indetecting reportable diseases, clusters, and providing situationalawareness in a timely manner without an overwhelming burden onstaff and resources.

2010 ◽  
Vol 4 (3) ◽  
pp. 220-225 ◽  
Author(s):  
James M. Pribble ◽  
Erika F. Fowler ◽  
Sonia V. Kamat ◽  
William M. Wilkerson ◽  
Kenneth M. Goldstein ◽  
...  

ABSTRACTObjective: To assess how West Nile virus (WNV) was reported to the American public on local television news and identify the main factors that influenced coverage.Methods: A representative sample of WNV stories that were reported on 122 local television news stations across the United States during October 2002, covering 67% of the nation's population, were coded for self-efficacy, comparative risk scenarios, symptoms and recommendations, high-risk individuals, and frame. In addition, public service professionals (PSPs) interviewed in the segments were identified. Comparisons were made between stories in which a PSP was interviewed and stories without an interview with respect to discussion of the 5 variables coded.Results: Of the 1371 health-related stories captured during the study period, 160 WNV stories aired, the second most common health topic reported. Forty-nine of the 160 WNV stories contained at least 1 of the 5 reporting variables. Forty-two PSPs were interviewed within 33 unique WNV stories. Public health officials composed 81% of all PSP interviews. Stories containing a public health official interview had 15.2 times (odds ratio 15.2, confidence interval 5.1-45.9) higher odds of reporting quality information, controlling for station affiliate or geographic location.Conclusions: Emerging infectious disease stories are prominently reported by local television news. Stories containing interviews with public health officials were also much more likely to report quality information. Optimizing the interactions between and availability of public health officials and the local news media may enhance disaster communication of emerging infections.(Disaster Med Public Health Preparedness. 2010;4:220-225)


1996 ◽  
Vol 22 (4) ◽  
pp. 503-536
Author(s):  
Guido S. Weber

Tuberculosis (TB), “the world’s most neglected health crisis,” has returned after decades of decline, but has only gradually caught the attention of governments as a formidable threat to public health. By 1984, when TB cases hit an all-time low, federal and state governments stopped supporting the medical infrastructure that once served to contain the disease. State officials around the nation began dismantling laboratory research programs and closing TB clinics and sanitoria. Since 1985, however, TB rates have steadily increased to 26,673 reported cases in 1992, and some have estimated that by the year 2000, there could be a twenty percent increase. By 1993, Congress, realizing that TB could pose a major public health threat, allocated over $100 million to the Department of Health and Human Services for TB prevention and treatment programs. Those funds, however, were sorely needed years before and amounted to only a fraction of what public health officials believe necessary to control TB today.


2009 ◽  
Vol 124 (3) ◽  
pp. 364-371 ◽  
Author(s):  
Kristy O. Murray ◽  
Cindy Kilborn ◽  
Mary desVignes-Kendrick ◽  
Erin Koers ◽  
Valda Page ◽  
...  

Transmission of infectious diseases became an immediate public health concern when approximately 27,000 New Orleans-area residents evacuated to Houston's Astrodome and Reliant Park Complex following Hurricane Katrina. This article presents a surveillance system that was rapidly developed and implemented for daily tracking of various symptoms in the evacuee population in the Astrodome “megashelter.” This system successfully confirmed an outbreak of acute gastroenteritis and became a critical tool in monitoring the course of this outbreak.


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Pascal Vilain ◽  
Salamta Bah-Assoumani ◽  
Ali-Mohamed Youssouf ◽  
Laurent Filleul

ObjectiveTo confirm and to characterize the increase in emergency department (ED) visits related to the use of synthetic cannabinoids (SC)IntroductionOn October 2016, the Indian Ocean Regional Health Agency was alerted about an increase in ED visits related to adverse reactions associated with use of SC on Mayotte Island. In this context, an investigation based on a syndromic surveillance system was implemented by the regional unit of the French national public health agency.MethodsAn extraction of anonymized records routinely collected by the syndromic surveillance system (1) was carried out from January 1st, 2012 to October 30, 2016. ED visits related to the consumption of SC were identified from ICD-10 codes of the principal diagnostic according to two levels of confidence:- a probable case was defined as ED visit coded X69 (Intentional self-poisoning by and exposure to other and unspecified chemicals and noxious substances). This code has been implemented specifically by ED physicians since august 2015;- a suspect case was defined as ED visit coded: F11 (Mental and behavioral disorders due to use of opioids), F12 (Mental and behavioral disorders due to use of cannabinoids), F16 (Mental and behavioral disorders due to use of hallucinogens), F18 (Mental and behavioral disorders due to use of volatile solvents), F19 (Mental and behavioral disorders due to multiple drug use and use of other psychoactive substances).Based on these data, an epidemic curve and a descriptive analysis of ED visits were carried out.ResultsIn total, 146 ED visits related to adverse events associated with use of SC were registered from January 1st, 2012 to October 30, 2016. The epidemic curve shows two waves between 2015 and 2016 with a particularly high peak in August 2015 (Figure 1). In total, 49% (n=72/146) of these ED visits were probably related to adverse reactions associated to use SC and 51% (n=74/146) meet to the suspect case definition. On the surveillance period, men represented 84% of the patients (n=122) and median age (min – max) was 23 (8-62) years old. When the severity score variable was filled (n = 138), a vital emergency was reported for 4% (n = 5) of patients and 19% of patients were hospitalized.ConclusionsData from syndromic surveillance system allowed to confirm an increase in ED visits related to adverse reactions associated with use of SC in Mayotte Island. To our knowledge, it’s the first time that an outbreak related to use SC is described in the Ocean Indian areaThis phenomenon was particularly marked in 2015 with a peak of ED visits on August 2016.After this outbreak, the regional unit of the French national public health agency recommended the pursuit of the coding X69 in principal diagnosis with the following case definition: any patient with an adverse reaction attributed to synthetic cannabinoid use whether suspected by the medical team or declared by the patient himself or if the patient is in possession of the substance; and to raise awareness ED physicians to the notification of these poisonings to the Regional Addictive Surveillance Center.In conclusion, the young population, weakened by a precarious socio-economic situation, is a target for new synthetic drugs and a threat to public health. This emerging risk in Mayotte must be taken into account and must be actively monitored. In this context, collaborative work with the emergency services must continue in parallel with targeted prevention measures.References1. Vilain P, Maillard O, Raslan-Loubatie J, Abdou MA, Lernout T, Filleul L. Usefulness of Syndromic Surveillance for Early Outbreak Detection in Small Islands: The Case of Mayotte. Online Journal of Public Health Informatics. 2013;5(1):e149.


2017 ◽  
Vol 132 (1_suppl) ◽  
pp. 48S-52S ◽  
Author(s):  
Nancy VanStone ◽  
Adam van Dijk ◽  
Timothy Chisamore ◽  
Brian Mosley ◽  
Geoffrey Hall ◽  
...  

Morbidity and mortality from exposure to extreme cold highlight the need for meaningful temperature thresholds to activate public health alerts. We analyzed emergency department (ED) records for cold temperature–related visits collected by the Acute Care Enhanced Surveillance system—a syndromic surveillance system that captures data on ED visits from hospitals in Ontario—for geographic trends related to ambient winter temperature. We used 3 Early Aberration Reporting System algorithms of increasing sensitivity—C1, C2, and C3—to determine the temperature at which anomalous counts of cold temperature–related ED visits occurred in northern and southern Ontario from 2010 to 2016. The C2 algorithm was the most sensitive detection method. Results showed lower threshold temperatures for Acute Care Enhanced Surveillance alerts in northern Ontario than in southern Ontario. Public health alerts for cold temperature warnings that are based on cold temperature–related ED visit counts and ambient temperature may improve the accuracy of public warnings about cold temperature risks.


2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Changming Zhou ◽  
Huijian Cheng ◽  
Genming Zhao ◽  
Qi Zhao ◽  
Biao Xu ◽  
...  

The objective is to evaluate the validity of the signals generated by Shewhart chart to detect the increase in febrile children with patients with common infectious diseases. There were 28,049 and 42,029 reports for febrile patients in the two study counties during the 2-year period. The sensitivity were 29.03% and 34.78%. The PPVs were 64.29% and 53.33%. The sensitivity of signals in the syndromic surveillance system was low using the Shewhart model while the PPV was relatively high which suggested that this syndromic surveillance system had potential ability to supplement conventional case report system in detecting common infectious disease outbreaks.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Ta-Chien Chan ◽  
Yung-Chu Teng ◽  
Yen-Hua Chu ◽  
Tzu-Yu Lin

ObjectiveSentinel physician surveillance in the communities has played an important role in detecting early aberrations in epidemics. The traditional approach is to ask primary care physicians to actively report some diseases such as influenza-like illness (ILI), and hand, foot, and mouth disease (HFMD) to health authorities on a weekly basis. However, this is labor-intensive and time-consuming work. In this study, we try to set up an automatic sentinel surveillance system to detect 23 syndromic groups in the communites.IntroductionIn December 2009, Taiwan’s CDC stopped its sentinel physician surveillance system. Currently, infectious disease surveillance systems in Taiwan rely on not only the national notifiable disease surveillance system but also real-time outbreak and disease surveillance (RODS) from emergency rooms, and the outpatient and hospitalization surveillance system from National Health Insurance data. However, the timeliness of data exchange and the number of monitored syndromic groups are limited. The spatial resolution of monitoring units is also too coarse, at the city level. Those systems can capture the epidemic situation at the nationwide level, but have difficulty reflecting the real epidemic situation in communities in a timely manner. Based on past epidemic experience, daily and small area surveillance can detect early aberrations. In addition, emerging infectious diseases do not have typical symptoms at the early stage of an epidemic. Traditional disease-based reporting systems cannot capture this kind of signal. Therefore, we have set up a clinic-based surveillance system to monitor 23 kinds of syndromic groups. Through longitudinal surveillance and sensitive statistical models, the system can automatically remind medical practitioners of the epidemic situation of different syndromic groups, and will help them remain vigilant to susceptible patients. Local health departments can take action based on aberrations to prevent an epidemic from getting worse and to reduce the severity of the infected cases.MethodsWe collected data on 23 syndromic groups from participating clinics in Taipei City (in northern Taiwan) and Kaohsiung City (in southern Taiwan). The definitions of 21 of those syndromic groups with ICD-10 diagnoses were adopted from the International Society for Disease Surveillance (https://www.surveillancerepository.org/icd-10-cm-master-mapping-reference-table). The definitions of the other two syndromic groups, including dengue-like illness and enterovirus-like illness, were suggested by infectious disease and emergency medicine specialists.An enhanced sentinel surveillance system named “Sentinel plus” was designed for sentinel clinics and community hospitals. The system was designed with an interactive interface and statistical models for aberration detection. The data will be computed for different combinations of syndromic groups, age groups and gender groups. Every day, each participating clinic will automatically upload the data to the provider of the health information system (HIS) and then the data will be transferred to the research team.This study was approved by the committee of the Institutional Review Board (IRB) at Academia Sinica (AS-IRB02-106262, and AS-IRB02-107139). The databases we used were all stripped of identifying information and thus informed consent of participants was not required.ResultsThis system started to recruit the clinics in May 2018. As of August 2018, there are 89 clinics in Kaohsiung City and 33 clinics and seven community hospitals in Taipei City participating in Sentinel plus. The recruiting process is still ongoing. On average, the monitored volumes of outpatient visits in Kaohsiung City and Taipei City are 5,000 and 14,000 per day.Each clinic is provided one list informing them of the relative importance of syndromic groups, the age distribution of each syndromic group and a time-series chart of outpatient rates at their own clinic. In addition, they can also view the village-level risk map, with different alert colors. In this way, medical practitioners can know what’s going on, not only in their own clinics and communities but also in the surrounding communities.The Department of Health (Figure 1) can know the current increasing and decreasing trends of 23 syndromic groups by red and blue color, respectively. The spatial resolution has four levels including city, township, village and clinic. The map and bar chart represent the difference in outpatient rate between yesterday and the average for the past week. The line chart represents the daily outpatient rates for one selected syndromic group in the past seven days. The age distribution of each syndromic group and age-specific outpatient rates in different syndromic groups can be examined.ConclusionsSentinel plus is still at the early stage of development. The timeliness and the accuracy of the system will be evaluated by comparing with some syndromic groups in emergency rooms and the national notifiable disease surveillance system. The system is designed to assist with surveillance of not only infectious diseases but also some chronic diseases such as asthma. Integrating with external environmental data, Sentinel plus can alert public health workers to implement better intervention for the right population.References1. James W. Buehler AS, Marc Paladini, Paula Soper, Farzad Mostashari: Syndromic Surveillance Practice in the United States: Findings from a Survey of State, Territorial, and Selected Local Health Departments. Advances in Disease Surveillance 2008, 6(3).2. Ding Y, Fei Y, Xu B, Yang J, Yan W, Diwan VK, Sauerborn R, Dong H: Measuring costs of data collection at village clinics by village doctors for a syndromic surveillance system — a cross sectional survey from China. BMC Health Services Research 2015, 15:287.3. Kao JH, Chen CD, Tiger Li ZR, Chan TC, Tung TH, Chu YH, Cheng HY, Liu JW, Shih FY, Shu PY et al.: The Critical Role of Early Dengue Surveillance and Limitations of Clinical Reporting -- Implications for Non-Endemic Countries. PloS one 2016, 11(8):e0160230.4. Chan TC, Hu TH, Hwang JS: Daily forecast of dengue fever incidents for urban villages in a city. International Journal of Health Geographics 2015, 14:9.5. Chan TC, Teng YC, Hwang JS: Detection of influenza-like illness aberrations by directly monitoring Pearson residuals of fitted negative binomial regression models. BMC Public Health 2015, 15:168.6. Ma HT: Syndromic surveillance system for detecting enterovirus outbreaks evaluation and applications in public health. Taipei, Taiwan: National Taiwan University; 2007. 


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Pascal Vilain ◽  
Muriel Vincent ◽  
Anne Fouillet ◽  
Katia Mougin-Damour ◽  
Xavier Combes ◽  
...  

ObjectiveTo describe the characteristics of ED vitis related to dengue fever and to show how the syndromic surveillance system can be flexible for the monitoring of this outbreak.IntroductionIn Reunion Island, a French overseas territory located in the southwestern of Indian Ocean, the dengue virus circulation is sporadic. Since 2004, between 10 and 221 probable and confirmed autochthonous dengue fever cases have been reported annually. Since January 2018, the island has experienced a large epidemic of DENV serotype 2. As of 4 September 2018, 6,538 confirmed and probable autochthonous cases have been notified1. From the beginning of the epidemic, the regional office of National Public Health Agency (ANSP) in Indian Ocean enhanced the syndromic surveillance system in order to monitor the outbreak and to provide hospital morbidity data to public health authorities.MethodsIn Reunion Island, the syndromic surveillance system called OSCOUR® network (Organisation de la Surveillance Coordonnée des Urgences) is based on all emergency departments (ED)2. Anonymous data are collected daily directly from the patients’ computerized medical files completed during medical consultations. Every day, data files are sent to the ANSP via a regional server over the internet using a file transfer protocol. Each file transmitted to ANSP includes all patient visits to the ED logged during the previous 24 hours (midnight to midnight). Finally, data are integrated in a national database (including control of data quality regarding authorized thesauri) and are made available to the regional office through an online application3.Following the start of dengue outbreak in week 4 of 2018, the regional office organized meetings with physicians in each ED to present the dengue epidemiological update and to recommend the coding of ED visit related to dengue for any suspect case (acute fever disease and two or more of the following signs or symptoms: nausea, vomiting, rash, headache, retro-orbital pain, myalgia). During these meetings, it was found that the version of ICD-10 (International Classification of Diseases) was different from one ED to another. Indeed, some ED used A90, A91 (ICD-10 version: 2015) for visit related to dengue and others used A97 and subdivisions (ICD-10 version: 2016). As the ICD-10 version: 2015 was implemented at the national server, some passages could be excluded. In this context, the thesaurus of medical diagnosis implemented in the national database has been updated so that all codes can be accepted. ED visits related to dengue fever has been then described according to age group, gender and hospitalization.ResultsFrom week 9 of 2018, the syndromic surveillance system was operational to monitor dengue outbreak. The regional office has provided each week, an epidemic curve of ED visits for dengue and a dashboard on descriptive characteristic of these visits. In total, 441 ED visits for dengue were identified from week 9 to week 34 of 2018 (Figure 1). On this period, the weekly number of ED visits for dengue was correlated with the weekly number of probable and confirmed autochthonous cases (rho=0.86, p<0.001). Among these visits, the male/female ratio was 0.92 and median (min-max) age was 44 (2-98) years. The distribution by age group showed that 15-64 year-old (72.1%, n=127) were most affected. Age groups 65 years and more and 0-14 year-old represented respectively 21.8% (n=96) and 6.1% (n=27) of dengue visits. About 30% of dengue visits were hospitalized.ConclusionsAccording Buehler et al., “the flexibility of a surveillance system refers to the system's ability to change as needs change. The adaptation to changing detection needs or operating conditions should occur with minimal additional time, personnel, or other resources. Flexibility generally improves the more data processing is handled centrally rather than distributed to individual data-providing facilities because fewer system and operator behavior changes are needed...” 4.During this dengue outbreak, the syndromic surveillance system seems to have met this purpose. In four weeks (from week 5 to week 9 of 2018), the system was able to adapt to the epidemiological situation with minimal additional resources and personnel. Indeed, updates were not made in the IT systems of each EDs’ but at the level of the national ANSP server (by one person). This surveillance system was also flexible thank to the reactivity of ED physicians who timely implemented coding of visits related to dengue fever.In conclusion, ED surveillance system constitutes an added-value for the dengue outbreak monitoring in Reunion Island. The automated collection and analysis data allowed to provide hospital morbidity (severe dengue) data to public health authorities. Although the epidemic has decreased, this system also allows to continue a routine active surveillance in order to quickly identify a new increase.References1Santé publique France. Surveillance de la dengue à la Réunion. Point épidémiologique au 4 septembre 2018. http://invs.santepubliquefrance.fr/fr/Publications-et-outils/Points-epidemiologiques/Tous-les-numeros/Ocean-Indien/2018/Surveillance-de-la-dengue-a-la-Reunion.-Point-epidemiologique-au-4-septembre-2018. [Accessed September 8, 2018].2Vilain P, Filleul F. La surveillance syndromique à la Réunion : un système de surveillance intégré. [Syndromic surveillance in Reunion Island: integrated surveillance system]. Bulletin de Veille Sanitaire. 2013;(21):9-12. http://invs.santepubliquefrance.fr/fr/Publications-et-outils/Bulletin-de-veille-sanitaire/Tous-les-numeros/Ocean-indien-Reunion-Mayotte/Bulletin-de-veille-sanitaire-ocean-Indien.-N-21-Septembre-2013. [Accessed September 4, 2018].3Fouillet A, Fournet N, Caillère N et al. SurSaUD® Software: A Tool to Support the Data Management, the Analysis and the Dissemination of Results from the French Syndromic Surveillance System. OJPHI. 2013; 5(1): e118.4Buehler JW, Hopkins RS, Overhage JM, Sosin DM, Tong V; CDC Working Group. Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC Working Group. MMWR Recomm Rep. 2004;53(RR-5):1-11.


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